DigitHist: a Histogram-Based Data Summary with Tight Error Bounds
Summary: DigitHist: a histogram-based data summary for multi-dimensional selectivity with tight error bounds. Hybrid 1D/2D grids with sparse encoding and adaptive resolution; introduces u-error to minimize the gap between bounds; single-pass linear-time construction; superior precision at similar query time. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Shekelyan (Free University of Bolzano)
- 2. Anton Dignös (Free University of Bolzano)
- 3. Johann Gamper (Free University of Bolzano)
BibTeX Citation
@article{shekelyan_vldb17,
title = {{DigitHist: a Histogram-Based Data Summary with Tight Error Bounds}},
author = {Shekelyan, Michael and Dignös, Anton and Gamper, Johann},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
doi = {10.14778/3137628.3137658},
url = {https://doi.org/10.14778/3137628.3137658},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 697 | Selectivity Estimation for Range Predicates using Lightweight Models | 2019 | VLDB | 0.00014888851 |
| 1,536 | Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses | 2018 | VLDB | 0.00010460864 |
| 3,215 | Every Row Counts: Combining Sketches and Sampling for Accurate Group-By Result Estimates | 2019 | CIDR | 7.6324234e-05 |
| 7,351 | PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression | 2024 | VLDB | 5.6354898e-05 |
| 8,204 | PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees | 2025 | SIGMOD | 5.4667903e-05 |
| 8,616 | CoopStore: Optimizing Precomputed Summaries for Aggregation | 2020 | VLDB | 5.4004741e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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